ML Book 7 - Computer Vision/ Image Processing and CNNs for Novices

Table of Contents

1. Introduction

1.1 What is Computer Vision?

1.2 Applications of Computer Vision

1.3 Challenges and Limitations of Computer Vision

1.4 Overview of the Book

2. Image Processing Basics

2.1 How Images are Represented and Stored

2.2 Image Operations and Transformations

2.3 Image Filtering and Enhancement

2.4 Image Segmentation and Feature Extraction

3. Convolutional Neural Networks (CNNs)

3.1 What are Neural Networks?

3.2 How CNNs Work

3.3 CNN Architectures and Layers

3.4 CNN Training and Optimization

4. Image Classification with CNNs

4.1 What is Image Classification?

4.2 Image Classification Datasets and Metrics

4.3 Image Classification Models and Techniques

5. Image Detection and Localization with CNNs

5.1 What is Image Detection and Localization?

5.2 Image Detection and Localization Datasets and Metrics 5.3 Image Detection and Localization Models and Techniques 5.4 Image Detection and Localization Examples and Code

6. Image Segmentation with CNNs

6.1 What is Image Segmentation?

6.2 Image Segmentation Datasets and Metrics

6.3 Image Segmentation Models and Techniques

6.4 Image Segmentation Examples and Code

7. Image Generation with CNNs

7.1 What is Image Generation?

7.2 Image Generation Datasets and Metrics

7.3 Image Generation Models and Techniques

7.4 Image Generation Examples and Code

8. Conclusion

8.1 Summary of the Book

8.2 Future Trends and Directions of Computer Vision